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Structural equation modeling

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Structural equation modeling

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Default mode network and the timed up and go in MCI: A structural covariance analysis

Causal inference in continuous time: an example on prostate cancer therapy

Generalized approximate survey propagation for high-dimensional estimation*

Occupancy detection and tracking in buildings using floor-vibration signals

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables

Concrete Dam Displacement Prediction Based on an ISODATA-GMM Clustering and Random Coefficient Model

Effect heterogeneity and variable selection for standardizing causal effects to a target population

Comment: Models Are Approximations!

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification

Causal inference in continuous time: an example on prostate cancer therapy

Occupancy detection and tracking in buildings using floor-vibration signals

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables

Default mode network and the timed up and go in MCI: A structural covariance analysis

Effect heterogeneity and variable selection for standardizing causal effects to a target population

Comment: Models Are Approximations!

Generalized approximate survey propagation for high-dimensional estimation*

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification

Concrete Dam Displacement Prediction Based on an ISODATA-GMM Clustering and Random Coefficient Model

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification